ARCHIVE April 21, 2026
April 21, 2026 · AL West

Pittsburgh Pirates vs Texas Rangers

April 21, 2026Globe Life FieldRoof Closed 74°F · 0 mph, None
AWAY
Pittsburgh Pirates
13-10
1
vs
HOME
Texas Rangers
12-11
5

Starting pitchers

AWAY · PIT
Carmen Mlodzinski
Carmen Mlodzinski
IP 4.1
HOME · TEX
Kumar Rocker
Kumar Rocker
IP 6

Lineups

AWAY · PIT
  1. 1 Oneil Cruz CF
  2. 2 Ryan O'Hearn 1B
  3. 3 Bryan Reynolds LF
  4. 4 Marcell Ozuna DH
  5. 5 Nick Yorke 3B
  6. 6 Nick Gonzales 2B
  7. 7 Jake Mangum RF
  8. 8 Konnor Griffin SS
  9. 9 Henry Davis C
HOME · TEX
  1. 1 Brandon Nimmo RF
  2. 2 Wyatt Langford LF
  3. 3 Corey Seager SS
  4. 4 Jake Burger 1B
  5. 5 Joc Pederson DH
  6. 6 Josh Jung 3B
  7. 7 Evan Carter CF
  8. 8 Danny Jansen C
  9. 9 Josh Smith 2B

Box score

  123456789 R
PIT 100000000 1
TEX 020030000 5

Manager comparison

Both managers grade C- / B- entering this matchup.

AWAY · PIT
Don Kelly
C- Lineup 2.3 R Bunts 0.3 R IBBs 0.8 R
HOME · TEX
Skip Schumaker
B- Lineup 1.0 R Bunts 0.3 R IBBs 0.9 R

Recent form

AWAY · PIT
5-5 W2 +1 run diff
WWLWWWLLLL
HOME · TEX
3-7 L2 -20 run diff
LLWLLLWWLL

Season series: 1-2 with PIT listed first across 3 prior meetings.

Tactical analysis

RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.

AWAY · Pittsburgh Pirates
  • Manager lineup cost +0.13 R/G Optimal arrangement projects 3.57 vs actual lineup 3.44
  • Player execution −2.44 R/G Players fell 2.44 short of the lineup's 3.44 projection (scored 1)
  • Game variance −2.57 R/G Total game outcome vs optimal expectation

Reynolds 0-for-3 batting 3rd

HOME · Texas Rangers
  • Manager lineup cost +0.05 R/G Optimal arrangement projects 4.04 vs actual lineup 3.99
  • Player execution +1.01 R/G Players exceeded the lineup's 3.99 projection by 1.01 (scored 5)
  • Game variance +0.96 R/G Total game outcome vs optimal expectation

Nimmo 0-for-5 batting 1st

COUNTERFACTUAL

Optimal lineups projected 3.6 – 4.0 — actual was 1 – 5.

Keep reading

How RunsLeft analyzes games

Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.

Read the full methodology.